A digital ecosystem for sustainable fruit supply chain in Uttarakhand: a comprehensive review

K Sharma, R Kumar, A Kumar, S Balabantaray… - Environment …, 2024 - Springer
The horticulture industry has gained significant attention at the National and International
levels due to its vital role in achieving sustainable development goals (SDGs) and …

Sustainable crop protection via robotics and artificial intelligence solutions

V Balaska, Z Adamidou, Z Vryzas, A Gasteratos - Machines, 2023 - mdpi.com
Agriculture 5.0 refers to the next phase of agricultural development, building upon the
previous digital revolution in the agrarian sector and aiming to transform the agricultural …

UAS-based remote sensing for agricultural Monitoring: Current status and perspectives

J Wang, S Zhang, I Lizaga, Y Zhang, X Ge… - … and Electronics in …, 2024 - Elsevier
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …

Image‐based crop disease detection using machine learning

A Dolatabadian, TX Neik, MF Danilevicz… - Plant …, 2025 - Wiley Online Library
Crop disease detection is important due to its significant impact on agricultural productivity
and global food security. Traditional disease detection methods often rely on labour …

Applications of artificial intelligence (AI) in managing food quality and ensuring global food security

A Ikram, H Mehmood, MT Arshad, A Rasheed… - CyTA-Journal of …, 2024 - Taylor & Francis
The food industry uses artificial intelligence (AI) to enhance food quality and security while
proposing significant capital savings and resource optimization. Additionally, understanding …

Agriculture 5.0: Cutting-edge technologies, trends, and challenges

S Fountas, B Espejo-García, A Kasimati… - IT …, 2024 - ieeexplore.ieee.org
In the evolution from Agriculture 2.0 to Agriculture 5.0, the agricultural sector has witnessed
transformative changes. Agriculture 5.0 represents a revolutionary phase, integrating …

The evolution of precision agriculture and food safety: a bibliometric study

J Xu, Y Cui, S Zhang, M Zhang - Frontiers in Sustainable Food …, 2024 - frontiersin.org
Introduction Food safety issues pose a significant threat to humanity. Precision agriculture
leverages advanced technologies for real-time monitoring and management, improving …

A path to sustainable development of agri‐industries: Analysis of agriculture 5.0 versus industry 5.0 using stakeholder theory with moderation of environmental policy

Y Zhang - Sustainable Development, 2024 - Wiley Online Library
Abstract Agricultural 5.0 (a5. 0) and Industry 5.0 (i5. 0) both frameworks play a crucial role in
achieving sustainable development (SD) by promoting efficiency and sustainability from the …

Automated lepidopteran pest developmental stages classification via transfer learning framework

W Qin, A Abbas, S Abbas, A Alam… - Environmental …, 2024 - academic.oup.com
The maize crop is highly susceptible to damage caused by its primary pests, which poses
considerable challenges in manually identifying and controlling them at various larval …

End-to-End Deep Learning Models for Gap Identification in Maize Fields

R Waqar, Ž Grbović, M Khan… - Proceedings of the …, 2024 - openaccess.thecvf.com
We propose an approach to jointly count plants and detect gaps in maize fields using end-to-
end deep-learning models. Unlike previous efforts that focused solely on plant detection our …